Data Science & Analytics Lead

The BMG
360 Business Intelligence & Technology department is looking for a Data Science & Analytics Lead with 6+ years of experience to join our growing team. This is a hands-on technical lead role, not a people-management position, and we're looking for someone who leads primarily through analysis, modeling, and example rather than headcount. You will set the analytical direction for how we measure marketing performance, own our attribution and measurement methodology, and raise the bar for the analysts and engineers around you through peer review and shared standards.

The hire will design and build the models and dashboards our media, account, and leadership teams rely on daily, and will be the company's authority on direct and modeled attribution, from multi touch attribution (MTA) through incrementality testing, lift studies, and marketing mix modeling (MMM). The ideal candidate has deep statistical and modeling fluency, hands-on experience building and validating attribution and measurement systems in a real media environment, and is equally comfortable writing production analysis code and building the BI dashboards (Power BI, Looker or Looker Studio, or similar) that make that analysis usable by non-technical stakeholders.

You will partner closely with media buying, account, finance, and data engineering teams, and serve as the trusted analytical voice in decisions about where and how we invest media dollars. The right candidate is excited by the prospect of owning how we measure what's working and is comfortable learning the complicated world of direct response media.

Day to day, the work spans building and maintaining attribution and measurement models across dozens of marketing channels, running incrementality and lift tests, building and refining marketing mix models (MMM), and translating results into BI dashboards and self-service reporting that media buyers, account teams, and leadership use daily. Roughly 50% of the role is modeling and measurement work, 30% is BI and dashboard development, and 20% is technical leadership: peer review of analysis and models, design discussions, and raising the bar for analytical rigor across the team.

This is a hands-on role with a broad surface area and a short path from analysis to decision, and the right person will be eager to own measurement systems end to end and set the standards others follow.

• Own our attribution and measurement strategy. Design, build, and maintain direct and modeled attribution across multi touch attribution (MTA), incrementality testing, lift studies, and marketing mix modeling (MMM), and decide which method fits which question.
• Design and run incrementality and lift tests
  . Structure holdouts, geo experiments, and matched market tests, and define the test design, sample size, and readout methodology the team can trust and repeat.
• Build and maintain marketing mix models (MMM). Translate media spend, seasonality, pricing, and external factors into models that inform budget allocation across channels and markets.
• Build and own BI dashboards and self-service reporting. Power BI, Looker or Looker Studio (or a similar platform), turning models and raw data into tools that media, account, and finance teams can use without an analyst in the loop.
• Partner directly with data engineering. Define what your attribution and measurement models need from the data platform, and work with the Data Engineering Lead on schema, freshness, and pipeline reliability for the tables that feed your models.
• Translate model output into a media and budget point of view. Work directly with media buying and account teams to turn attribution and MMM results into channel, campaign, and budget recommendations.
• Validate and…